Color Vision Enhancement via Reference Matching in Uncontrolled Lighting
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Solution Overview
Problem
Existing technologies face challenges in accurately detecting and quantifying colors, especially in uncontrolled lighting environments, due to variations in human color perception and the effects of illumination on camera images.
Innovation Solution
The development of systems and methods for color vision tools that can compare colors under similar lighting conditions, match perceived colors to reference colors stored in memory, and correct colors for different lighting conditions, using head-mounted display devices to enhance user visual capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If color detection is performed in uncontrolled lighting environments, then the system can operate in practical real-world conditions, but measurement precision deteriorates due to illumination variations and human color perception limitations
Solution Approach 1:
The patent introduces an intermediary processing system that includes a camera to capture color information, a processor to analyze the captured data, and a reference color storage system. This intermediary system mediates between the uncontrolled lighting environment and the color detection task, compensating for illumination variations through computational processing and comparison with stored reference colors under standardized lighting conditions.
Solution Approach 2:
The system changes the parameter of color representation from direct human perception to quantifiable digital data. By converting color information into numerical values that can be processed and compared computationally, the system overcomes the limitations of human color vision and the effects of varying lighting conditions through mathematical transformations and reference comparisons.
2Ease of operation
If color matching is performed based on human vision characteristics, then the system aligns with human perception, but measurement precision deteriorates due to individual variations in color perception and age-related changes
Solution Approach 1:
The patent creates a standardized reference copy of color information stored in memory, representing colors under controlled lighting conditions. Instead of relying on variable human perception, the system uses these stored reference copies as the authoritative standard for comparison, ensuring consistent and reproducible color matching across different users and conditions.
Solution Approach 2:
The system performs preliminary action by pre-storing reference color data under standardized lighting conditions before the actual color matching task. This advance preparation of reference standards allows the system to compensate for variations in perception and lighting during operation, ensuring consistent results without requiring real-time calibration for each user.
3Measurement precision
If illumination intensity is increased to exceed noise thresholds, then measurement precision improves, but loss of energy increases due to higher lighting requirements
Solution Approach 1:
The patent replaces the mechanical/optical approach of increasing physical illumination intensity with a computational approach. The system uses image processing algorithms and reference color comparisons to extract accurate color information from images captured under various lighting conditions, eliminating the need to physically increase light intensity to overcome noise thresholds.
Data Source
AI summary
In one embodiment, a method is disclosed that includes selecting a first color sample within a target area in a first image of a first object displayed by a display device; selecting a second color sample within a target area in a second image of a second object displayed in the display device; comparing the first color sample against the second color sample to determine a measure of color difference or a measure of color equivalence between the first color sample of the first object and the second color sample of the second object; and displaying the results of the comparison to a user in the display device. One or more of these functions may be performed with a processor.


